Globally, infections acquired during childbirth contribute to one tenth of the maternal deaths annually [
1] [
2]. Factors predisposing to high risks of puerperal infections include non-compliance with Standard Precautions of Infection Control (SPIC), unhygienic births by unskilled birth attendants, multiple vaginal examinations, prolonged labour and premature rapture of membranes [
1]. The main purpose of this study was to determine factors associated with compliance to standard precautions of infection control the management of labour by healthcare workers in Mulago Hospital to generate information, which may be used in infection control and prevention practices. A cross-sectional study utilizing a quantitative approach was conducted among 115 healthcare workers. Consecutive sampling was done to include respondents in the study. Data were collected by direct observation and researcher administered questionnaires. Data were coded and entered into the computer using SPSS version 20 with programmed quality control checks. Descriptive data analyses, frequencies, cross tabulations and logistic regression analysis were the major statistical methods used. 103 healthcare workers were involved in the study, where 74% were females. Overall compliance was at 52%, although it varied across domains. The majority of the healthcare workers (95.1%) did not comply with hand hygiene. Being a male was associated with low compliance scores a cross most domains. One of the hospital factors which was significantly associated with compliance to hand hygiene was having had an in-service training with
p = 0.008 and
p = 0.012 at multivariate analysis. Overall compliance to standard precautions of infection control was low compared to the Centre for Disease Control (CDC) recommendation. The findings in this study provide insight into individual and hospital related factors associated with compliance with standard precautions of infection control in the management of labour. There is an urgent need to put up interventions to improve on compliance with SPIC in management of labour among all healthcare workers.